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Charity and capitalism

2025· book-chapter· en· W4414513534 on OpenAlexaboutno aff
Nicola Livingstone, Lucy Natarajan

Bibliographic record

VenuePolicy Press eBooks · 2025
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsnot available
Fundersnot available
KeywordsConceptualizationCapitalismFood securityMarxist philosophyNeoliberalism (international relations)WelfarePoliticsFood insecurityFood systems

Abstract

fetched live from OpenAlex

This chapter considers the nature of charity in capitalist society and presents an in-depth conceptualization of the form and structure of charitable food providers and the spaces they use to address food insecurity through a Marxist political economy approach. The responses to food insecurity in Canada and the UK are reflective of capitalist charity, a paradoxical social relation which is riven with antagonisms and although responding to need, fails to address the structural foundations of food insecurity. Charitable food providers address the symptoms of food insecurity and not the root cause, they are performative in many ways – addressing immediate need, responding in generous and altruistic ways, however in doing so they are performing the role of the state, which has outsourced its responsibilities and contributed to the creation and perpetuation of capitalist charity. The conceptual framework is unpacked in relation to the growth of emergency food aid providers in Canada and the UK, examining the role of the state, the welfare state, corporations, corporate social responsibility, and civil society. Responses to the COVID-19 pandemic are also outlined, as an element of the food insecurity narrative.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.836
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.051
GPT teacher head0.243
Teacher spread0.192 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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